US11657726B2ActiveUtilityA1

Establishing a learning session utilizing a multi-disciplined learning tool

91
Assignee: ENDUVO INCPriority: Jun 7, 2019Filed: Dec 19, 2019Granted: May 23, 2023
Est. expiryJun 7, 2039(~12.9 yrs left)· nominal 20-yr term from priority
G09B 5/062G06F 16/901G09B 5/065G09B 7/00G09B 7/02G09B 7/04G09B 7/06G06Q 50/205
91
PatentIndex Score
3
Cited by
12
References
9
Claims

Abstract

A method for utilizing a multi-disciplined learning tool regarding a topic includes generating a fundamental illustrative model based on illustrative assets of a lesson that includes learning objects. The method further includes modifying the fundamental illustrative model to illustrate first and second sets of teaching assets of a first learning object to produce first and second learning illustrative models. When enabled, the method further includes modifying the fundamental illustrative model to illustrate third and fourth sets of teaching assets of a second learning object to produce third and fourth learning illustrative models. The method further includes outputting at least the first and second learning illustrative models.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
       1. A computer-implemented method of using a computing system, the method comprises:
 generating, by a computing entity of the computing system, a fundamental illustrative model based on illustrative assets of first and second learning objects, wherein the first learning object includes a first set of bullet-points for a first piece of information regarding a topic, wherein the second learning object includes a second set of bullet-points for a second piece of information regarding the topic, wherein the generating the fundamental illustrative model includes:
 rendering a three-dimensional (3-D) model of the illustrative assets and a three-dimensional (3-D) model of the first learning object with regards the first set of knowledge bullet-points to transform the first set of knowledge bullet-points into 3-D frames of a first descriptive asset, wherein the first descriptive asset represents the first learning object, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the second learning object with regards the second set of knowledge bullet-points to transform the second set of knowledge bullet-points into 3-D frames of a second descriptive asset, wherein the second descriptive asset represents the second learning object, and 
 integrating the 3-D frames of the first descriptive asset and the 3-D frames of the second descriptive asset to produce the fundamental illustrative model; 
 
 modifying, by the computing entity, the fundamental illustrative model to illustrate a first set of teaching assets of the first learning object to produce a first learning illustrative model by:
 identifying a first knowledge assessment asset of the first learning object for the first set of teaching assets, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the first knowledge assessment asset to transform the first knowledge assessment asset into 3-D frames of the first set of teaching assets, and 
 integrating the 3-D frames of the first descriptive asset and the 3-D frames of the first set of teaching assets to produce the first learning illustrative model; 
 
 modifying, by the computing entity, the fundamental illustrative model to illustrate a second set of teaching assets of the first learning object to produce a second learning illustrative model by:
 identifying a second knowledge assessment asset of the first learning object for the second set of teaching assets, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the second knowledge assessment asset to transform the second knowledge assessment asset into 3-D frames of the second set of teaching assets, and 
 integrating the 3-D frames of the first descriptive asset and the 3-D frames of the second set of teaching assets to produce the second learning illustrative model; 
 
 when enabled:
 modifying, by the computing entity, the fundamental illustrative model to illustrate a third set of teaching assets of the second learning object to produce a third learning illustrative model by:
 identifying a third knowledge assessment asset of the second learning object for the third set of teaching assets, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the third knowledge assessment asset to transform the third knowledge assessment asset into 3-D frames of the third set of teaching assets, and 
 integrating the 3-D frames of the second descriptive asset and the 3-D frames of the third set of teaching assets to produce the third learning illustrative model; and 
 
 modifying, by the computing entity, the fundamental illustrative model to illustrate a fourth set of teaching assets of the second learning object to produce a fourth learning illustrative model by:
 identifying a fourth knowledge assessment asset of the second learning object for the fourth set of teaching assets, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the fourth knowledge assessment asset to transform the fourth knowledge assessment asset into 3-D frames of the fourth set of teaching assets, and 
 integrating the 3-D frames of the second descriptive asset and the 3-D frames of the fourth set of teaching assets to produce the fourth learning illustrative model; and 
 
 
 outputting, by the computing entity, at least the first and second learning illustrative models to a second computing entity of the computing system. 
 
     
     
       2. The method of  claim 1  further comprises:
 outputting, by the computing entity, the third and fourth learning illustrative models to the second computing entity. 
 
     
     
       3. The method of  claim 1  further comprises:
 indicating to produce the third learning illustrative model when detecting one or more of:
 completion of outputting the second learning illustrative model to the second computing entity; and 
 an advancement indicator from the second computing entity. 
 
 
     
     
       4. A computing device of a computing system comprises:
 an interface; 
 a local memory; and 
 a processing module operably coupled to the interface and the local memory, wherein the processing module functions to:
 generate a fundamental illustrative model based on illustrative assets—of first and second learning objects, wherein the first learning object includes a first set of bullet-points for a first piece of information regarding a topic, wherein the second learning object includes a second set of bullet-points for a second piece of information regarding the topic, wherein the processing module generates the fundamental illustrative model by:
 rendering a three-dimensional (3-D) model of the illustrative assets and a three-dimensional (3-D) model of the first learning object with regards the first set of knowledge bullet-points to transform the first set of knowledge bullet-points into 3-D frames of a first descriptive asset, wherein the first descriptive asset represents the first learning object, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the second learning object with regards the second set of knowledge bullet-points to transform the second set of knowledge bullet-points into 3-D frames of a second descriptive asset, wherein the second descriptive asset represents the second learning object, and 
 integrating the 3-D frames of the first descriptive asset and the 3-D frames of the second descriptive asset to produce the fundamental illustrative model; 
 
 modify the fundamental illustrative model to illustrate a first set of teaching assets of the first learning object to produce a first learning illustrative model by:
 identifying a first knowledge assessment asset of the first learning object for the first set of teaching assets, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the first knowledge assessment asset to transform the first knowledge assessment asset into 3-D frames of the first set of teaching assets, and 
 integrating the 3-D frames of the first descriptive asset and the 3-D frames of the first set of teaching assets to produce the first learning illustrative model; 
 
 modify the fundamental illustrative model to illustrate a second set of teaching assets of the first learning object to produce a second learning illustrative model by:
 identifying a second knowledge assessment asset of the first learning object for the second set of teaching assets, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the second knowledge assessment asset to transform the second knowledge assessment asset into 3-D frames of the second set of teaching assets, and 
 integrating the 3-D frames of the first descriptive asset and the 3-D frames of the second set of teaching assets to produce the second learning illustrative model; 
 
 when enabled:
 modify the fundamental illustrative model to illustrate a third set of teaching assets of the second learning object to produce a third learning illustrative model by:
 identifying a third knowledge assessment asset of the second learning object for the third set of teaching assets, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the third knowledge assessment asset to transform the third knowledge assessment asset into 3-D frames of the third set of teaching assets, and 
 integrating the 3-D frames of the second descriptive asset and the 3-D frames of the third set of teaching assets to produce the third learning illustrative model; and 
 
 modify the fundamental illustrative model to illustrate a fourth set of teaching assets of the second learning object to produce a fourth learning illustrative model by:
 identifying a fourth knowledge assessment asset of the second learning object for the fourth set of teaching assets, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the fourth knowledge assessment asset to transform the fourth knowledge assessment asset into 3-D frames of the fourth set of teaching assets, and 
 integrating the 3-D frames of the second descriptive asset and the 3-D frames of the fourth set of teaching assets to produce the fourth learning illustrative model; and 
 
 
 output, via the interface, at least the first and second learning illustrative models to a second computing device of the computing system. 
 
 
     
     
       5. The computing device of  claim 4 , wherein the processing module further functions to:
 output, via the interface, the third and fourth learning illustrative models to the second computing device. 
 
     
     
       6. The computing device of  claim 4 , wherein the processing module further functions to:
 indicate to produce the third learning illustrative model when detecting one or more of:
 completion of outputting the second learning illustrative model to the second computing entity; and 
 an advancement indicator from the second computing entity. 
 
 
     
     
       7. A non-transitory computer readable memory comprises:
 a first memory element that stores operational instructions that, when executed by a processing module, causes the processing module to:
 generate a fundamental illustrative model based on illustrative assets of first and second learning objects, wherein the first learning object includes a first set of bullet-points for a first piece of information regarding a topic, wherein the second learning object includes a second set of bullet-points for a second piece of information regarding the topic, wherein the processing module generates the fundamental illustrative model by:
 rendering a three-dimensional (3-D) model of the illustrative assets and a three-dimensional (3-D) model of the first learning object with regards the first set of knowledge bullet-points to transform the first set of knowledge bullet-points into 3-D frames of a first descriptive asset, wherein the first descriptive asset represents the first learning object, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the second learning object with regards the second set of knowledge bullet-points to transform the second set of knowledge bullet-points into 3-D frames of a second descriptive asset, wherein the second descriptive asset represents the second learning object, and 
 integrating the 3-D frames of the first descriptive asset and the 3-D frames of the second descriptive asset to produce the fundamental illustrative model; 
 
 
 a second memory element that stores operational instructions that, when executed by the processing module, causes the processing module to:
 modify the fundamental illustrative model to illustrate a first set of teaching assets of the first learning object to produce a first learning illustrative model by:
 identifying a first knowledge assessment asset of the first learning object for the first set of teaching assets, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the first knowledge assessment asset to transform the first knowledge assessment asset into 3-D frames of the first set of teaching assets, and 
 integrating the 3-D frames of the first descriptive asset and the 3-D frames of the first set of teaching assets to produce the first learning illustrative model; 
 
 modify the fundamental illustrative model to illustrate a second set of teaching assets of the first learning object to produce a second learning illustrative model by:
 identifying a second knowledge assessment asset of the first learning object for the second set of teaching assets, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the second knowledge assessment asset to transform the second knowledge assessment asset into 3-D frames of the second set of teaching assets, and 
 integrating the 3-D frames of the first descriptive asset and the 3-D frames of the second set of teaching assets to produce the second learning illustrative model; and 
 
 when enabled:
 modify the fundamental illustrative model to illustrate a third set of teaching assets of the second learning object to produce a third learning illustrative model by:
 identifying a third knowledge assessment asset of the second learning object for the third set of teaching assets, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the third knowledge assessment asset to transform the third knowledge assessment asset into 3-D frames of the third set of teaching assets, and 
 integrating the 3-D frames of the second descriptive asset and the 3-D frames of the third set of teaching assets to produce the third learning illustrative model; and 
 
 modify the fundamental illustrative model to illustrate a fourth set of teaching assets of the second learning object to produce a fourth learning illustrative model by:
 identifying a fourth knowledge assessment asset of the second learning object for the fourth set of teaching assets, 
 rendering the 3-D model of the illustrative assets and a 3-D model of the fourth knowledge assessment asset to transform the fourth knowledge assessment asset into 3-D frames of the fourth set of teaching assets, and 
 integrating the 3-D frames of the second descriptive asset and the 3-D frames of the fourth set of teaching assets to produce the fourth learning illustrative model; and 
 
 
 
 a third memory element that stores operational instructions that, when executed by the processing module, causes the processing module to:
 output at least the first and second learning illustrative models to a computing device. 
 
 
     
     
       8. The non-transitory computer readable memory of  claim 7  further comprises:
 the third memory element further stores operational instructions that, when executed by the processing module, causes the processing module to:
 output the third and fourth learning illustrative models to the computing device. 
 
 
     
     
       9. The non-transitory computer readable memory of  claim 7  further comprises:
 the second memory element further stores operational instructions that, when executed by the processing module, causes the processing module to:
 indicate to produce the third learning illustrative model when detecting one or more of:
 completion of outputting the second learning illustrative model to the second computing entity; and 
 an advancement indicator from the second computing entity.

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